Artificial Intelligence

Jury selection began April 28 in Elon Musk's lawsuit against OpenAI, Sam Altman, Greg Brockman, and Microsoft in U.S. District Court for the Northern District of California in Oakland. Opening statements occurred April 29. Musk alleges OpenAI breached its 2015 nonprofit founding agreement by converting to a for-profit model in 2019 with Microsoft backing, abandoning its stated mission to develop AI for humanity's benefit. He invested $38–45 million in the company. Musk seeks OpenAI's return to nonprofit status, removal of Altman and Brockman from leadership, and $134–150 billion in damages to be redirected to OpenAI's charitable arm.

A former in-house attorney at Workday has settled and dismissed the remaining claims in his 2023 employment discrimination lawsuit against the HR software company. The voluntary dismissal followed settlement discussions and was reported on April 24, 2026.

Elon Musk's lawsuit against OpenAI proceeded to trial in California federal court, where a jury rejected his claims that CEO Sam Altman and President Greg Brockman violated an early agreement to maintain the company's AI research under nonprofit control. The case centered on OpenAI's structural transformation from a nonprofit research organization to a for-profit entity capable of raising substantial capital and entering commercial partnerships. Musk, a co-founder and early investor who departed the organization years ago, alleged that Altman and Brockman breached foundational commitments about the company's governance and mission.

Tesla faces coordinated class-action litigation across multiple jurisdictions from owners of Hardware 3-equipped vehicles manufactured between 2016 and 2024. The plaintiffs allege that Tesla and Elon Musk made false representations that these vehicles would achieve full self-driving capability through software updates alone. A spring 2026 software release exposed Hardware 3's technical limitations, effectively excluding millions of owners from advanced autonomous features now reserved for newer Hardware 4 systems. The lead case, brought by retired attorney Tom LoSavio, centers on buyers who paid $8,000 to $12,000 for full self-driving capability that is now incompatible with their vehicles without costly hardware retrofits Tesla has not formally offered. Similar suits have been filed in Australia, the Netherlands, across Europe, and in California, where one action involves approximately 3,000 plaintiffs. Globally, the disputes affect roughly 4 million vehicles.

Colorado has repealed and replaced its groundbreaking artificial intelligence law with a narrower regime focused on "automated decision-making technology." Governor Jared Polis signed SB 26-189 on May 14, 2026, effective January 1, 2027. The new law abandons the prior risk-based compliance model in favor of transparency and notice requirements. Developers must document intended uses, inputs, limitations, and known risks. Deployers must notify users when ADMT drives consequential decisions and provide post-adverse-action notice in certain cases. The law preserves limited rights to correction and human review for adverse outcomes. Enforcement rests exclusively with the Colorado Attorney General under the state's consumer protection statute, with no private right of action.

A California federal jury rejected Elon Musk's lawsuit against OpenAI, CEO Sam Altman, and co-founder Greg Brockman on May 18, 2026, finding that Musk had filed too late under the applicable statute of limitations. U.S. District Judge Yvonne Gonzalez Rogers of the Northern District of California accepted the jury's advisory finding and dismissed the case. Microsoft, which Musk had also named as a defendant for allegedly aiding OpenAI's conduct, was included in the dismissal.

Elon Musk testified April 28 in a California courtroom that OpenAI breached a foundational promise by converting from nonprofit to for-profit status. Now valued at $852 billion, OpenAI made the shift despite Musk's 2017 warning that the company should either remain nonprofit or operate independently. "It is not OK to steal a charity," Musk told the court, referencing email exchanges with Sam Altman in which Altman expressed support for the nonprofit model but acknowledged no legal obligation bound the company to it permanently.

On May 8, 2026, The National Law Review and Varnum LLP published advisory articles warning clients against misusing consumer AI tools in legal matters. The pieces detail a specific risk: uploading privileged documents—draft agreements, legal memos, work product—into platforms like ChatGPT or Claude waives attorney-client privilege by exposing confidential information to third parties with no confidentiality obligations. The articles also caution that AI models tend to validate user assumptions rather than provide objective legal analysis, making them unreliable validators of legal advice.

A federal magistrate judge issued a temporary restraining order on April 27, 2026, blocking Colorado from enforcing its artificial intelligence antidiscrimination law (SB 24-205). The order freezes all state investigations and enforcement actions while litigation proceeds and shields companies from penalties for violations occurring within 14 days after the court rules on a preliminary injunction motion. The law was set to take effect June 30.

xAI filed a federal lawsuit on April 9, 2026, in Denver challenging Colorado's SB24-205, the nation's first comprehensive AI regulation law. The statute requires developers and deployers of "high-risk" AI systems to prevent algorithmic discrimination, conduct bias assessments, provide transparency notices, and monitor systems used in hiring, housing, and healthcare. The law takes effect June 30, 2026. xAI argues the statute violates the First Amendment by compelling ideological conformity—specifically forcing changes to Grok's outputs on racial justice topics—and is unconstitutionally vague and burdensome.

Federal regulators and lawmakers are moving aggressively against surveillance pricing—the practice of using consumer data to set individualized prices for identical products or services. In April 2026, FTC leadership told Congress that staff work on the issue continues, with the agency considering whether new disclosure requirements should apply to highly personalized, data-driven pricing. That same month, the House Oversight Committee launched a formal investigation, sending letters to major travel and platform companies demanding documentation on revenue management algorithms, consumer data practices, and testing protocols.

Organizations across all sectors are facing a wave of litigation over their data practices and AI systems. According to a Baker Donelson report, these legal challenges now extend well beyond technology companies and data brokers to affect organizations of every size that rely on data for operations, network security, regulatory compliance, and contractual obligations. The disputes involve civil liberties groups, workers' advocates, and privacy organizations pursuing claims centered on data privacy violations, algorithmic bias, unauthorized data use, AI system liability, and worker surveillance.

French legal tech platform LegalPlace closed a €70 million funding round, marking the largest capital raise in recent legal tech activity. The Paris-based business formation platform, which helps entrepreneurs launch companies online, is capitalizing on France's growing legal tech sector. Separately, Jurisphere.ai, an India-based startup founded in 2024 by Manas Khandelwal, Varun Khandelwal, and Sumit Ghosh, secured $2.2 million in seed funding from backers including InfoEdge Ventures, Flourish Ventures, Antler, and 8i Ventures. Jurisphere offers AI-native legal research, drafting, and document review tools built for Indian legal workflows and now serves over 500 teams.

Lawyers deploying AI agents into client work and business operations face a critical gap in liability allocation: existing professional-conduct rules do not clearly assign responsibility when autonomous systems act with minimal human oversight. An Above the Law analysis argues that contract drafters, risk managers, and counsel must now assess the degree of control an organization actually maintains over an AI agent's permissions, decision-making, and supervision before assigning liability to the organization, the user, the vendor, or another party.

Pennsylvania's Department of State and State Board of Medicine have filed a Petition for Review in Commonwealth Court against Character Technologies, Inc., alleging that the company's AI chatbot platform violates the state's Medical Practice Act by engaging in the unauthorized practice of medicine. According to the complaint, state investigators discovered an AI character named "Emilie" that presented itself as a psychology and psychiatry specialist, claimed authority to conduct medical school assessments and depression evaluations, and provided a false Pennsylvania medical license number. The state is seeking injunctive relief to halt the conduct.

Congress moved on two fronts in late March to shape AI regulation. On March 26, bipartisan lawmakers introduced H.R. 8094, the AI Foundation Model Transparency Act, requiring developers of large language models to disclose training methods, purposes, risks, evaluation protocols, and monitoring practices. The bill imposes no affirmative regulation—only disclosure obligations. One week earlier, the Trump Administration released its National Policy Framework for Artificial Intelligence, a non-binding document recommending Congress adopt unified federal standards across seven areas: child protection, AI infrastructure, intellectual property, free speech, innovation, workforce development, and preemption of state law. The framework followed Senator Marsha Blackburn's March 18 discussion draft of the Trump America AI Act, which would codify President Trump's December 2025 executive order directing federal preemption of state AI laws.

A federal judge in Manhattan has ruled that a financial services executive waived attorney-client privilege and work product protection by using Anthropic's Claude AI tool without his lawyers' involvement. In United States v. Heppner, Judge Jed S. Rakoff ordered disclosure of 31 strategy documents the defendant generated after inputting case details derived from attorney communications. The court found that Claude, as a non-attorney third party, lacks fiduciary duties, and that Anthropic's privacy policy—which permits data use for training and third-party sharing—destroyed any reasonable expectation of confidentiality. This marks the first federal decision of its kind, rejecting the defendant's argument that later sharing the materials with counsel could retroactively restore privilege protection.

Courts nationwide have sanctioned attorneys for submitting briefs containing fabricated case citations generated by artificial intelligence tools. Rather than targeting the technology itself, judges have held lawyers personally accountable for failing to verify AI output before filing. A Massachusetts attorney faced discipline for citing fictitious cases produced by AI systems. In the federal case Flycatcher Corporation v. Affable Avenue, a judge imposed severe sanctions including a default judgment after the defendant's attorney repeatedly cited fabricated cases despite warnings. These decisions reflect a judicial consensus that reliance on unverified AI constitutes a breach of professional responsibility, regardless of whether the attorney or the system originated the error.

The Trump administration has established federal review procedures for artificial intelligence systems across government agencies through an executive order titled "Preventing Woke AI in the Federal Government," issued in July 2025 alongside America's AI Action Plan. The order requires federal agencies to implement "Unbiased AI Principles" for large language models in procurement decisions. The Office of Management and Budget must issue implementing guidance within 90 days, after which agencies have an additional 90 days to revise existing contracts and adopt compliance procedures.

Justin McCallon, CEO of StrongSuit, published commentary on Law360 arguing that AI-driven automation will reshape legal work—but only if it clears a uniquely high bar. Unlike most industries, litigation tolerates near-zero error rates. McCallon positioned StrongSuit's platform, which automates legal research, drafting, and document review, as engineered specifically for this constraint rather than general-purpose AI capability.

Freshfields LLP is building its legal AI infrastructure directly with major AI labs rather than through traditional legal tech vendors. Global Chief Innovation Officer Gil Perez announced that the firm's internal Freshfields Lab is partnering with Google Cloud and Anthropic to develop proprietary tools deployed across the firm's 5,700 users in 33 offices. The strategy has already produced results: Google's Gemini models rolled out firmwide to 5,000 professionals within one year of partnership, powering platforms including Dynamic Due Diligence, a case management system, and NotebookLM Enterprise, which 2,100 staff members currently use. Anthropic's Claude suite was deployed on April 23, 2026, for contract review, due diligence, and legal research workflows.

In the first quarter of 2026, autonomous AI workflow agents including Openclaw demonstrated the ability to generate production-ready software directly from user specifications. The capability triggered immediate debate over intellectual property ownership, developer liability, and the legal framework governing self-generating code.

Palantir CEO Alex Karp has publicly attacked low-quality AI outputs as "slop," positioning the company's AI Platform (AIP) as a secure, enterprise-grade alternative built on its Foundry data infrastructure. The criticism comes as Palantir faces investor concerns that it may lose market share to cheaper, faster standalone large language models from OpenAI and Anthropic—competitors that don't require Palantir's ontology-based data backbone.

Venable LLP hosted a special episode of its podcast AI and IP: The Legal Frontier on April 30, 2026, bringing together Justin Pierce (co-chair of Venable's Intellectual Property Division), Jason Yao of China's Wanhuida law firm, and Toby Bond of UK-based Bird & Bird to examine how artificial intelligence is fracturing intellectual property law across jurisdictions. The discussion centered on three distinct regulatory approaches: China's willingness to protect AI-generated outputs when meaningful human input is present; the UK and EU's insistence on human authorship and originality; and the US framework built on human contribution and fair use doctrine.

On February 17, 2026, Judge Jed S. Rakoff of the U.S. District Court for the Southern District of New York ruled in United States v. Heppner that a criminal defendant's communications with Anthropic's Claude AI platform were not protected by attorney-client privilege or work product doctrine. The defendant had used the public chatbot to create analysis documents after receiving a grand jury subpoena, then claimed privilege when sharing them with counsel. The court ordered disclosure to the government.

Core event: On March 10, 2026, a panel of legal experts discussed how AI is disrupting law firms and legal departments, debating the enduring value of human judgment amid AI-driven efficiencies in tasks like risk profiling and pretrial discovery[9][1].

U.S. District Judge Nina Y. Wang sanctioned attorney Christopher Kachouroff and his law firm $5,000 on May 8, 2026, for submitting a defamation brief with a materially incorrect citation while defending MyPillow CEO Mike Lindell. The error was obvious and reflected failure to reasonably review the document before filing, Wang ruled, rejecting Kachouroff's human error explanation. Lindell, his media company, and co-counsel Jennifer T. DeMaster escaped penalty on this sanction, though DeMaster faced consequences in an earlier ruling.

Colorado Governor Jared Polis has signed S.B. 26-189, substantially weakening the state's artificial intelligence law just weeks before its original effective date. The amendment repeals key provisions of Colorado's 2024 AI statute and replaces them with a narrower compliance framework centered on notice, adverse-decision disclosures, human review, and record retention. The new law delays implementation to January 1, 2027.

Prosecutors across the country are using AI tools to manage heavy caseloads and staff shortages, but the technology is already producing serious errors in criminal cases. Recent incidents include a prosecutor who resigned after filing an AI-drafted brief without adequate review, and a Georgia prosecutor suspended by the state Supreme Court for submitting AI-generated fake citations in a murder case ruling. The National Center for State Courts has flagged concerns that AI-generated evidence can erode public trust in the justice system. District attorneys' offices, judges, defense counsel, and legal technology providers including Lexis and Westlaw are all grappling with how to deploy these tools responsibly.

Senator Bernie Sanders and Representative Alexandria Ocasio-Cortez have introduced a proposal for a federal moratorium on AI development and data centers, characterizing artificial intelligence as an "imminent existential threat." The call for restrictions has crystallized a fundamental policy divide: whether AI requires aggressive regulatory intervention or a risk-based approach that permits innovation while addressing specific harms.

Law firms are hemorrhaging money on artificial intelligence tools they don't understand and won't use, according to analysis published May 4, 2026, in Above the Law and Tech Law Crossroads. Firms facing client pressure to deploy AI are panic-buying software without first establishing internal competency—resulting in wasted spending, abandoned platforms, and disappointed clients. The core problem: decision-makers lack basic literacy on how AI actually works, what it can and cannot do, and which tools fit specific practice needs. The recommended fix is straightforward: mandatory education on AI fundamentals for lawyers, firm leadership, and business development staff before any vendor selection or client pitch.

Filevine launched LOIS, a Legal Operating Intelligence System, on April 8, 2026, through a sponsored Above the Law article following an earlier preview by CEO Ryan Anderson at the Lex conference in Salt Lake City. The platform embeds AI directly into legal workflows to consolidate firm data, agents, and products into court-ready outputs. LOIS addresses operational fragmentation by unifying people, processes, and data across case management, enabling instant case insights, pattern analysis, and new tools including upgraded Draft AI, Chat With Your Case functionality, and DataBridge for real-time data access.

The Federal Trade Commission has issued guidance to online platforms on compliance with the Take It Down Act, the federal law targeting nonconsensual intimate imagery and AI-generated deepfakes. The letter, issued by FTC Chair Andrew Ferguson, sets out three core requirements: platforms must establish a clear notice-and-removal process, respond to valid victim requests within 48 hours, and make reasonable efforts to identify and remove known duplicate copies of reported images and videos. The FTC warned that violations will be treated as breaches of an FTC rule subject to civil penalties. The Take It Down Act, formally the Tools to Address Known Exploitation by Immobilizing Technological Deepfakes on Websites and Networks Act, was signed into law on May 19, 2025. Section 3's platform obligations became enforceable on May 19, 2026—the compliance deadline that has now arrived.

On April 14, 2026, Magistrate Judge Tim A. Baker of the U.S. District Court for the Southern District of Indiana issued an order in White v. Walmart (Case No. 25-cv-01120) sanctioning plaintiff's counsel for relying exclusively on artificial intelligence to identify deficiencies in the defendant's discovery responses. The court held that while AI can serve as a useful tool, it cannot substitute for attorney judgment and does not satisfy the Federal Rules of Civil Procedure's requirement that parties meet and confer in good faith before escalating discovery disputes.

The Oregon Court of Appeals has sanctioned Salem attorney William Ghiorso with a $10,000 fine for submitting an opening brief containing at least 15 fabricated case citations and 9 nonexistent quotations. The court attributed the errors to AI "hallucinations"—instances where generative AI generated convincing but false legal information. The penalty marks the first time an Oregon appellate court has considered attorney fees as a sanction alternative to fines, though it ultimately imposed the monetary penalty after Ghiorso implemented new safeguards.

Seven families of victims from a 2025 Florida State University mass shooting have filed lawsuits against OpenAI, claiming the company negligently failed to alert law enforcement about the suspect's extensive ChatGPT interactions. The suits allege that Phoenix Ikner, the accused gunman now awaiting trial, maintained constant communication with the chatbot and may have received guidance on executing the attack. The families are pursuing negligence claims, arguing OpenAI breached its duty of care by failing to flag foreseeable harm despite the chatbot's design and the nature of the interactions.

China's Supreme People's Procuratorate released its first bilingual White Paper on Intellectual Property Prosecution Work on April 21, 2026, documenting enforcement activity across criminal, civil, administrative, and public interest litigation. The SPP reported accepting or reviewing 11,341 criminal IP infringement cases involving 25,160 individuals in 2025, prosecuting 9,135 cases with 19,102 defendants while declining to prosecute 5,105. The agency also handled 1,251 civil IP cases, 1,795 administrative cases, and 612 public interest cases. Simultaneously, the SPP issued 10 model cases in emerging sectors including chip manufacturing, photovoltaics, and industrial software, along with an annual report on IP crimes.

The legal profession is shifting from reactive oversight of AI systems to proactive governance designed for autonomous tools. As artificial intelligence has evolved from generative systems that produce text on demand to agentic systems capable of independent action—sending emails, populating filings, modifying records—the traditional model of lawyers reviewing AI output after completion has become inadequate. Legal ethics experts are now calling for "human-at-the-helm" governance that establishes parameters and controls what AI is permitted to do before it acts, rather than inspecting results afterward.

Fast Company published a workplace-advice piece arguing that employees should pause before committing to new work goals and ask six critical questions: Is the goal tactical or adaptive? Who are the stakeholders? How does it connect to business priorities and personal motivation? Where does it fit in current workload? And how much effort does it truly deserve? The article frames goal-setting as a human conversation between employee and manager, with AI serving only as a drafting and tracking tool. The six questions organize around three core areas: clarifying the target, understanding its significance, and assessing available resources.

Legal AI tools are reshaping law firm economics. Document review, drafting, and research are now 60–70% faster, with individual attorneys expected to save 190–240 billable hours annually. Thomson Reuters' 2025 Future of Professionals Report quantifies this as $20–32 billion in time savings across the U.S. market. Major clients—Meta, Zscaler, UBS—are already demanding "AI discounts" and refusing to pay for work automatable by machine. The pressure is immediate and client-driven.

The U.S. Patent and Trademark Office launched a beta AI-powered image search tool in April 2026 that lets users upload images to retrieve visually similar marks from the federal register. Accessed through a camera icon on the trademark search system, the tool functions like reverse image search—users log into their USPTO.gov account, upload an image or link, and receive results showing marks with related design elements. The USPTO announced the tool alongside other AI enhancements, including a mark description generator and the Trademark Classification Agentic Codification Tool (Class ACT), which automates backend classification work that previously took months.

Microsoft released Legal Agent on April 30, 2026, a specialized AI tool embedded directly into Microsoft Word for contract analysis and drafting. The platform performs clause-by-clause reviews against customizable playbooks, generates negotiation-ready redlines with transparent tracked changes, compares document versions to surface risks, and produces precise edits—all while preserving Word's native formatting and change-tracking features. Legal Agent uses structured workflows and deterministic resolution rather than general-purpose AI models, reducing processing time and cost. The tool operates within Microsoft 365 security controls and is immediately available through the Frontier program for Windows desktop users in the US. Microsoft explicitly states the tool does not provide legal advice and requires attorney verification of all outputs.

In early March 2026, darts World Champion Luke Littler filed an application with the UK Intellectual Property Office to register his face as a trademark across multiple product and service categories, including computer games, video games, and dartboard lights. The filing reflects a broader shift among high-profile individuals seeking facial trademark protection against unauthorized use and generative AI replication.

A 90-day cultural transformation framework has emerged as an alternative to mass workforce replacement during AI adoption, directly responding to IgniteTech CEO Eric Vaughan's controversial 2025 decision to terminate approximately 80% of his staff after employees resisted AI tools despite substantial training investment. Organizational researchers and business leaders have synthesized a three-phase approach—Diagnose, Rewire, Embed—designed to build AI-ready cultures without layoffs. The framework rests on a core finding: cultural misalignment, not technological incapacity, drives AI transformation failures. Writer's 2025 enterprise AI adoption report documents that nearly one-third of employees actively sabotage AI rollouts, with resistance particularly pronounced among technical staff and Gen Z workers (41% report active sabotage).

On March 20, 2026, the Trump administration released the "National Policy Framework for Artificial Intelligence: Legislative Recommendations," a detailed statutory blueprint that would establish uniform federal AI policy and preempt most state regulations. The Framework, mandated by an December 2025 executive order, proposes that Congress delegate AI development oversight to existing sector-specific agencies rather than create a new federal regulator. It would allow states limited authority only in narrow areas: child safety, fraud prevention, zoning, and government procurement. The administration has tasked the Department of Justice with challenging state AI laws through a dedicated task force, while the Department of Commerce will evaluate state regulations deemed "onerous," and the Federal Trade Commission will enforce preemption policies on deceptive practices.

Mercor, a $10 billion San Francisco AI startup that supplies training data to OpenAI, Anthropic, and Meta, is defending itself against at least seven class-action lawsuits filed in recent weeks. The suits stem from a data breach last month that exposed contractor information including recorded job interviews, facial biometric data, computer screenshots, and background checks. Plaintiffs allege Mercor violated federal privacy regulations by collecting extensive data through monitoring software like Insightful, sharing it with AI partners, and using interviews and proprietary materials to train models without adequate consent or disclosure.